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Citing this Article

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Published on 13.04.12 in Vol 14, No 2 (2012): Mar-Apr

This paper is in the following e-collection/theme issue:

Works citing "Novel Technologies for Assessing Dietary Intake: Evaluating the Usability of a Mobile Telephone Food Record Among Adults and Adolescents"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1967):

(note that this is only a small subset of citations)

  1. Béjar LM, García-Perea MD, Reyes A, Vázquez-Limón E. Relative Validity of a Method Based on a Smartphone App (Electronic 12-Hour Dietary Recall) to Estimate Habitual Dietary Intake in Adults. JMIR mHealth and uHealth 2019;7(4):e11531
    CrossRef
  2. Schembre SM, Liao Y, O'Connor SG, Hingle MD, Shen S, Hamoy KG, Huh J, Dunton GF, Weiss R, Thomson CA, Boushey CJ. Mobile Ecological Momentary Diet Assessment Methods for Behavioral Research: Systematic Review. JMIR mHealth and uHealth 2018;6(11):e11170
    CrossRef
  3. Eldridge A, Piernas C, Illner A, Gibney M, Gurinović M, de Vries J, Cade J. Evaluation of New Technology-Based Tools for Dietary Intake Assessment—An ILSI Europe Dietary Intake and Exposure Task Force Evaluation. Nutrients 2018;11(1):55
    CrossRef
  4. Comulada WS, Swendeman D, Koussa MK, Mindry D, Medich M, Estrin D, Mercer N, Ramanathan N. Adherence to self-monitoring healthy lifestyle behaviours through mobile phone-based ecological momentary assessments and photographic food records over 6 months in mostly ethnic minority mothers. Public Health Nutrition 2018;21(4):679
    CrossRef
  5. Béjar LM, Reyes A, García-Perea MD. Electronic 12-Hour Dietary Recall (e-12HR): Comparison of a Mobile Phone App for Dietary Intake Assessment With a Food Frequency Questionnaire and Four Dietary Records. JMIR mHealth and uHealth 2018;6(6):e10409
    CrossRef
  6. Banna J. Considerations for Evaluation of Diabetes Prevention Programs in Hispanic Adults in the United States. American Journal of Lifestyle Medicine 2018;12(1):21
    CrossRef
  7. Lytle LA, Nicastro HL, Roberts SB, Evans M, Jakicic JM, Laposky AD, Loria CM. Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures: Behavioral Domain. Obesity 2018;26:S16
    CrossRef
  8. Rivera J, McPherson AC, Hamilton J, Birken C, Coons M, Peters M, Iyer S, George T, Nguyen C, Stinson J. User-Centered Design of a Mobile App for Weight and Health Management in Adolescents With Complex Health Needs: Qualitative Study. JMIR Formative Research 2018;2(1):e7
    CrossRef
  9. Ho TJH, Lee CCS, Wong SN, Lau Y. Internet-based self-monitoring interventions for overweight and obese adolescents: A systematic review and meta-analysis. International Journal of Medical Informatics 2018;120:20
    CrossRef
  10. Fatehah AA, Poh BK, Shanita SN, Wong JE. Feasibility of Reviewing Digital Food Images for Dietary Assessment among Nutrition Professionals. Nutrients 2018;10(8):984
    CrossRef
  11. Banna J, Panizza C, Boushey C, Delp E, Lim E. Association between Cognitive Restraint, Uncontrolled Eating, Emotional Eating and BMI and the Amount of Food Wasted in Early Adolescent Girls. Nutrients 2018;10(9):1279
    CrossRef
  12. Béjar LM. First evaluation steps of a new method for dietary intake estimation regarding a list of key food groups in adults and in different sociodemographic and health-related behaviour strata. Public Health Nutrition 2017;20(15):2660
    CrossRef
  13. Ashman A, Collins C, Brown L, Rae K, Rollo M. Validation of a Smartphone Image-Based Dietary Assessment Method for Pregnant Women. Nutrients 2017;9(1):73
    CrossRef
  14. Chen Y, Wong J, Ayob A, Othman N, Poh B. Can Malaysian Young Adults Report Dietary Intake Using a Food Diary Mobile Application? A Pilot Study on Acceptability and Compliance. Nutrients 2017;9(1):62
    CrossRef
  15. Kim S, Chung S. Development and User Satisfaction of a Mobile Phone Application for Image-based Dietary Assessment. Korean Journal of Community Nutrition 2017;22(6):485
    CrossRef
  16. Boushey C, Spoden M, Delp E, Zhu F, Bosch M, Ahmad Z, Shvetsov Y, DeLany J, Kerr D. Reported Energy Intake Accuracy Compared to Doubly Labeled Water and Usability of the Mobile Food Record among Community Dwelling Adults. Nutrients 2017;9(3):312
    CrossRef
  17. Bathgate K, Sherriff J, Leonard H, Dhaliwal S, Delp E, Boushey C, Kerr D. Feasibility of Assessing Diet with a Mobile Food  Record for Adolescents and Young Adults with  Down Syndrome. Nutrients 2017;9(3):273
    CrossRef
  18. Conrad J, Nöthlings U. Innovative approaches to estimate individual usual dietary intake in large-scale epidemiological studies. Proceedings of the Nutrition Society 2017;76(3):213
    CrossRef
  19. Kerr D, Dhaliwal S, Pollard C, Norman R, Wright J, Harray A, Shoneye C, Solah V, Hunt W, Zhu F, Delp E, Boushey C. BMI is Associated with the Willingness to Record Diet  with  a  Mobile  Food  Record  among  Adults  Participating in Dietary Interventions. Nutrients 2017;9(3):244
    CrossRef
  20. Lee J, Song S, Ahn J, Kim Y, Lee J. Use of a Mobile Application for Self-Monitoring Dietary Intake: Feasibility Test and an Intervention Study. Nutrients 2017;9(7):748
    CrossRef
  21. Christoph MJ, Loman BR, Ellison B. Developing a digital photography-based method for dietary analysis in self-serve dining settings. Appetite 2017;114:217
    CrossRef
  22. Panizza C, Boushey C, Delp E, Kerr D, Lim E, Gandhi K, Banna J. Characterizing Early Adolescent Plate Waste Using the Mobile Food Record. Nutrients 2017;9(2):93
    CrossRef
  23. Boushey CJ, Delp EJ, Ahmad Z, Wang Y, Roberts SM, Grattan LM. Dietary assessment of domoic acid exposure: What can be learned from traditional methods and new applications for a technology assisted device. Harmful Algae 2016;57:51
    CrossRef
  24. Bruening M, van Woerden I, Todd M, Brennhofer S, Laska MN, Dunton G. A Mobile Ecological Momentary Assessment Tool (devilSPARC) for Nutrition and Physical Activity Behaviors in College Students: A Validation Study. Journal of Medical Internet Research 2016;18(7):e209
    CrossRef
  25. Rollo ME, Williams RL, Burrows T, Kirkpatrick SI, Bucher T, Collins CE. What Are They Really Eating? A Review on New Approaches to Dietary Intake Assessment and Validation. Current Nutrition Reports 2016;5(4):307
    CrossRef
  26. Segovia-Siapco G, Sabaté J. Using Personal Mobile Phones to Assess Dietary Intake in Free-Living Adolescents: Comparison of Face-to-Face Versus Telephone Training. JMIR mHealth and uHealth 2016;4(3):e91
    CrossRef
  27. Stanhope KL. Sugar consumption, metabolic disease and obesity: The state of the controversy. Critical Reviews in Clinical Laboratory Sciences 2016;53(1):52
    CrossRef
  28. Ashman AM, Collins CE, Brown LJ, Rae KM, Rollo ME. A Brief Tool to Assess Image-Based Dietary Records and Guide Nutrition Counselling Among Pregnant Women: An Evaluation. JMIR mHealth and uHealth 2016;4(4):e123
    CrossRef
  29. Peterson CM, Apolzan JW, Wright C, Martin CK. Video chat technology to remotely quantify dietary, supplement and medication adherence in clinical trials. British Journal of Nutrition 2016;116(9):1646
    CrossRef
  30. Ahn Y, Bae J, Kim H. The development of a mobile u-Health program and evaluation for self-diet management for diabetic patients. Nutrition Research and Practice 2016;10(3):342
    CrossRef
  31. Probst Y, Zammit G. Predictors for Reporting of Dietary Assessment Methods in Food-based Randomized Controlled Trials over a Ten-year Period. Critical Reviews in Food Science and Nutrition 2016;56(12):2069
    CrossRef
  32. Bejar LM, Sharp BN, García-Perea MD. The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire. JMIR Research Protocols 2016;5(4):e208
    CrossRef
  33. Turner T, Spruijt-Metz D, Wen CKF, Hingle MD. Prevention and treatment of pediatric obesity using mobile and wireless technologies: a systematic review. Pediatric Obesity 2015;10(6):403
    CrossRef
  34. Raatz SK, Scheett AJ, Johnson LK, Jahns L. Validity of Electronic Diet Recording Nutrient Estimates Compared to Dietitian Analysis of Diet Records: Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(1):e21
    CrossRef
  35. Hongu N, Pope BT, Bilgiç P, Orr BJ, Suzuki A, Kim AS, Merchant NC, Roe DJ. Usability of a smartphone food picture app for assisting 24-hour dietary recall: a pilot study. Nutrition Research and Practice 2015;9(2):207
    CrossRef
  36. Aflague T, Boushey C, Guerrero R, Ahmad Z, Kerr D, Delp E. Feasibility and Use of the Mobile Food Record for Capturing Eating Occasions among Children Ages 3–10 Years in Guam. Nutrients 2015;7(6):4403
    CrossRef
  37. Rollo M, Ash S, Lyons-Wall P, Russell A. Evaluation of a Mobile Phone Image-Based Dietary Assessment Method in Adults with Type 2 Diabetes. Nutrients 2015;7(6):4897
    CrossRef
  38. Fitt E, Cole D, Ziauddeen N, Pell D, Stickley E, Harvey A, Stephen AM. DINO (Diet In Nutrients Out) – an integrated dietary assessment system. Public Health Nutrition 2015;18(2):234
    CrossRef
  39. Rangan AM, O'Connor S, Giannelli V, Yap ML, Tang LM, Roy R, Louie JCY, Hebden L, Kay J, Allman-Farinelli M. Electronic Dietary Intake Assessment (e-DIA): Comparison of a Mobile Phone Digital Entry App for Dietary Data Collection With 24-Hour Dietary Recalls. JMIR mHealth and uHealth 2015;3(4):e98
    CrossRef
  40. Casperson SL, Sieling J, Moon J, Johnson L, Roemmich JN, Whigham L. A Mobile Phone Food Record App to Digitally Capture Dietary Intake for Adolescents in a Free-Living Environment: Usability Study. JMIR mHealth and uHealth 2015;3(1):e30
    CrossRef
  41. Arens-Volland AG, Spassova L, Bohn T. Promising approaches of computer-supported dietary assessment and management—Current research status and available applications. International Journal of Medical Informatics 2015;84(12):997
    CrossRef
  42. Boushey CJ, Harray AJ, Kerr DA, Schap TE, Paterson S, Aflague T, Bosch Ruiz M, Ahmad Z, Delp EJ. How Willing Are Adolescents to Record Their Dietary Intake? The Mobile Food Record. JMIR mHealth and uHealth 2015;3(2):e47
    CrossRef
  43. Sun M, Burke L, Baranowski T, Fernstrom J, Zhang H, Chen H, Bai Y, Li Y, Li C, Yue Y, Li Z, Nie J, Sclabassi R, Mao Z, Jia W. An Exploratory Study on a Chest-Worn Computer for Evaluation of Diet, Physical Activity and Lifestyle. Journal of Healthcare Engineering 2015;6(1):1
    CrossRef
  44. Banna JC, Buchthal OV, Delormier T, Creed-Kanashiro HM, Penny ME. Influences on eating: a qualitative study of adolescents in a periurban area in Lima, Peru. BMC Public Health 2015;16(1)
    CrossRef
  45. Sanghvi A, Redman LM, Martin CK, Ravussin E, Hall KD. Validation of an inexpensive and accurate mathematical method to measure long-term changes in free-living energy intake. The American Journal of Clinical Nutrition 2015;102(2):353
    CrossRef
  46. Chung L, Law Q, Fong S, Chung J, Yuen P. A cost-effectiveness analysis of teledietetics in short-, intermediate-, and long-term weight reduction. Journal of Telemedicine and Telecare 2015;21(5):268
    CrossRef
  47. Rabbi M, Pfammatter A, Zhang M, Spring B, Choudhury T. Automated Personalized Feedback for Physical Activity and Dietary Behavior Change With Mobile Phones: A Randomized Controlled Trial on Adults. JMIR mHealth and uHealth 2015;3(2):e42
    CrossRef
  48. Gemming L, Utter J, Ni Mhurchu C. Image-Assisted Dietary Assessment: A Systematic Review of the Evidence. Journal of the Academy of Nutrition and Dietetics 2015;115(1):64
    CrossRef
  49. Harray A, Boushey C, Pollard C, Delp E, Ahmad Z, Dhaliwal S, Mukhtar S, Kerr D. A Novel Dietary Assessment Method to Measure a Healthy and Sustainable Diet Using the Mobile Food Record: Protocol and Methodology. Nutrients 2015;7(7):5375
    CrossRef
  50. Storey KE. A changing landscape. Current Opinion in Clinical Nutrition and Metabolic Care 2015;18(5):437
    CrossRef
  51. Sharp DB, Allman-Farinelli M. Feasibility and validity of mobile phones to assess dietary intake. Nutrition 2014;30(11-12):1257
    CrossRef
  52. Gilmore LA, Duhé AF, Frost EA, Redman LM. The Technology Boom. Journal of Diabetes Science and Technology 2014;8(3):596
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  53. Gibney MJ, McNulty BA, Ryan MF, Walsh MC. Nutritional Phenotype Databases and Integrated Nutrition: From Molecules to Populations. Advances in Nutrition 2014;5(3):352S
    CrossRef
  54. Chow CC, Hall KD. Short and long-term energy intake patterns and their implications for human body weight regulation. Physiology & Behavior 2014;134:60
    CrossRef
  55. Helander E, Kaipainen K, Korhonen I, Wansink B. Factors Related to Sustained Use of a Free Mobile App for Dietary Self-Monitoring With Photography and Peer Feedback: Retrospective Cohort Study. Journal of Medical Internet Research 2014;16(4):e109
    CrossRef
  56. Spook JE, Paulussen T, Kok G, Van Empelen P. Monitoring Dietary Intake and Physical Activity Electronically: Feasibility, Usability, and Ecological Validity of a Mobile-Based Ecological Momentary Assessment Tool. Journal of Medical Internet Research 2013;15(9):e214
    CrossRef
  57. Taylor JC, Johnson RK. Farm to School as a strategy to increase children's fruit and vegetable consumption in the United States: Research and recommendations. Nutrition Bulletin 2013;38(1):70
    CrossRef
  58. Gemming L, Doherty A, Kelly P, Utter J, Ni Mhurchu C. Feasibility of a SenseCam-assisted 24-h recall to reduce under-reporting of energy intake. European Journal of Clinical Nutrition 2013;67(10):1095
    CrossRef
  59. Gibney MJ, Walsh MC. The future direction of personalised nutrition: my diet, my phenotype, my genes. Proceedings of the Nutrition Society 2013;72(2):219
    CrossRef
  60. Derbyshire E, Dancey D. Smartphone Medical Applications for Women’s Health: What Is the Evidence-Base and Feedback?. International Journal of Telemedicine and Applications 2013;2013:1
    CrossRef
  61. Boeing H. Nutritional epidemiology: New perspectives for understanding the diet-disease relationship?. European Journal of Clinical Nutrition 2013;67(5):424
    CrossRef
  62. da Costa FF, Schmoelz CP, Davies VF, Di Pietro PF, Kupek E, de Assis MAA. Assessment of Diet and Physical Activity of Brazilian Schoolchildren: Usability Testing of a Web-Based Questionnaire. JMIR Research Protocols 2013;2(2):e31
    CrossRef
  63. Burrows T, Golley RK, Khambalia A, McNaughton SA, Magarey A, Rosenkranz RR, Alllman-Farinelli M, Rangan AM, Truby H, Collins C. The quality of dietary intake methodology and reporting in child and adolescent obesity intervention trials: a systematic review. Obesity Reviews 2012;13(12):1125
    CrossRef
  64. Kerr DA, Pollard CM, Howat P, Delp EJ, Pickering M, Kerr KR, Dhaliwal SS, Pratt IS, Wright J, Boushey CJ. Connecting Health and Technology (CHAT): protocol of a randomized controlled trial to improve nutrition behaviours using mobile devices and tailored text messaging in young adults. BMC Public Health 2012;12(1)
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.1967)

:
  1. Cui Y, Balshaw D. Unraveling the Exposome. 2019. Chapter 10:255
    CrossRef
  2. Xu X, Hou L, Guo Z, Wang J, Li J. Big Data – BigData 2018. 2018. Chapter 30:360
    CrossRef
  3. Hawkins K, Apolzan J, Myers C, Martin C. Advances in the Assessment of Dietary Intake. 2017. :85
    CrossRef
  4. Childhood Obesity. 2016. :431
    CrossRef